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数理统计和模糊数学在铁谱分析中的应用
引用本文:程坚,刘玉斌,徐茂峰,杨志伊.数理统计和模糊数学在铁谱分析中的应用[J].中国矿业大学学报,2000,29(5):541-545.
作者姓名:程坚  刘玉斌  徐茂峰  杨志伊
作者单位:中国矿业大学机电工程学院,江苏,徐州,221008
基金项目:煤炭科学基金资助项目(94机lOl01)
摘    要:运用数理统计的有关原理和方法,通过构造磨屑群简化并规范了量化铁谱定性分析的过程,在磨屑群体特征分析的基础上,应用模糊数学的有关原理和方法,通过构造磨屑群体特征参量,推导出各因素和各因素集的隶属函数,结合铁谱工况监测的经验,建立了铁谱分析模糊综合评判系统,并通过现场工竞监测实例,检验了该系统分析结果的可靠性。

关 键 词:铁谱技术  磨屑群  数理统计  模糊数学  工况监测
文章编号:1000-1964(2000)05-0541-05
修稿时间:2000-03-17

Application of Mathematical Statistics and Fuzzy Mathematics in Ferrography
CHENG Jian,LIU Yu-bing,XU Mao-feng,YANG Zhi-yi.Application of Mathematical Statistics and Fuzzy Mathematics in Ferrography[J].Journal of China University of Mining & Technology,2000,29(5):541-545.
Authors:CHENG Jian  LIU Yu-bing  XU Mao-feng  YANG Zhi-yi
Affiliation:CHENG Jian ,LIU Yu-bing ,XU Mao-feng ,YANG Zhi-yi (College of Mechatronic Engineering,CUMT,Xuzhou,Jiangsu 221008,China)
Abstract:On the basis of applying mathematical statistics to construct debris group the procedure of quantified qualitative ferrographic analysis was simplified and normalized. By using the method of debris group analysis and fuzzy mathematics, the characteristic parameters of debris group were constructed, and the membership functions of facts and fact categories were established. Finally, the fuzzy synthetic decision making system in ferrography was founded by synthesizing experience from actual wear condition monitoring. Furthermore, at the spot case was discussed to prove the reliability of this system.
Keywords:ferrography  debris group  statistical mathematics  fuzzy mathematics  condition monitoring
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